| Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods | Jun 16, 2021 | Fairness | —Unverified | 0 | 0 |
| Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification | Jul 11, 2023 | Fairness | —Unverified | 0 | 0 |
| Towards a Single ASR Model That Generalizes to Disordered Speech | Dec 26, 2024 | Fairnessspeech-recognition | —Unverified | 0 | 0 |
| Towards a Socially Acceptable Competitive Equilibrium in Energy Markets | Sep 6, 2024 | Fairness | —Unverified | 0 | 0 |
| Towards Auditability for Fairness in Deep Learning | Nov 30, 2020 | Deep LearningFairness | —Unverified | 0 | 0 |
| Towards Auditing Unsupervised Learning Algorithms and Human Processes For Fairness | Sep 20, 2022 | ClassificationClustering | —Unverified | 0 | 0 |
| Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework | Jul 21, 2023 | Fairness | —Unverified | 0 | 0 |
| Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case | Jul 24, 2023 | Decision MakingExplainable Artificial Intelligence (XAI) | —Unverified | 0 | 0 |
| Towards Carbon-Free Electricity: A Flow-Based Framework for Power Grid Carbon Accounting and Decarbonization | Aug 7, 2023 | Decision MakingFairness | —Unverified | 0 | 0 |
| Rethinking Certification for Trustworthy Machine Learning-Based Applications | May 26, 2023 | Fairness | —Unverified | 0 | 0 |
